Machine Learning Consultant
7 days ago
Role & Key Responsibilities
- Architect end-to-end conversational AI solutions integrating Speech Models (ASR/TTS) and LLMs
- Design real-time voice agent solutions optimized for low latency and high responsiveness
- Evaluate and benchmark Speech/LLM technologies (open-source & Azure) with a focus on security and compliance
- Develop fine-tuning and adaptation strategies for audio, dialog models
- Provide expertise for safety-critical use cases (handling sensitive client data, regulated interactions)
Technical Skills
- Voice AI
: Speech-to-Text and Text-to-Speech integration (Azure Stack and Open Source), orchestration of voice agents - LLM & NLP
: experience with LLMs; intent classification, slot extraction, summarization - Safety & Risk AI
: hands-on experience with AI systems in regulated or safety-critical domains; privacy-aware design - MLOps
: Azure ML, Databricks, AKS, CI/CD for ML pipelines - Evaluation & Testing
: create and execute testing and monitoring approaches that validate both technical performance and real conversational behavior
Experience Required
- Strong ML and AI background with a deep understanding of modern ML practices
- Extensive experience in designing and delivering end-to-end AI pipelines
- Strong focus on creating scalable and flexible architectures suited to large-scale enterprise environments
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